VirtualDub MSU Noise Estimation Filter

This filter is used to estimate mean noise variance in video sequences.
The result is saved into a log file.

Settings

The basic menu of the filter

Noise estimation algorithm - the algorithm used to estimate noise.
Following modes supported:

MAD

Block-Based

Spatio-temporal gradients

All algorithms

Advanced - configure algorithm details

Write noise estimates for each frame into file - path to log file.

Configure algorithm details: Block-Based

Block-based advanced dialog box

Block size - The parameter influencing on speed of work and accuracy
of an estimation. The increase of this parameter reduces accuracy and
reduces time of performance. For video with small homogeneous areas it
is recommended to use smaller values.

Search step - The parameter influencing on speed of work and
stability of an estimation. Great values increase speed of work and
reduce stability of an estimation.

Rate - The parameter influencing on reliability and stability of an
estimation. Great values are reasonable for using for video with the big
homogeneous areas.

Margin - The size of unused edges of the image.

Brightness border - The parameter influencing reliability of an
estimation. For video visually strongly polluted it is recommended to
increase this parameter.

Configure algorithm details: Spatio-Temporal Gradients

Spatio-temporal gradients advanced dialog box

Evaluation stability - The parameter influencing on stability of an
estimation. The increase of this parameter increases stability, but
reduces accuracy of an estimation.

Brightness border - The parameter influencing on reliability of an
estimation. For video visually strongly polluted it is recommended to
increase this parameter.

Job control & AviSynth

The filter supports Job Control, which allows to use it in AviSynth.
Example: